Silva, J;
Bultitude, K;
(2009)
Best Practice in Public Communications Training in Science, Technology, Engineering and Mathematics.
Online Journal of Science Communication
, 08
(02)
, Article A03.
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Abstract
Effective training in key communications skills is critical for successful public engagement. However, what are the secrets to designing and delivering an effectual training course? This paper outlines key findings from a research study into communication training programmes for public engagement with STEM (science, technology, engineering and mathematics). The research focused on training in direct communication methods, (as separate from media training) and encompassed both trainers and trainees, the latter group spanning across both scientists and explainers. The findings indicated that training courses are effective at increasing involvement in science communication events and trainees feel more confident and able to engage due to training. An interactive style was found to be a key element of training courses. Demonstrations of good practice followed by own performance with feedback were also important, preferably involving a ‘real’ audience. A list of guidelines on best practice has been developed which offers practical advice.
| Type: | Article |
|---|---|
| Title: | Best Practice in Public Communications Training in Science, Technology, Engineering and Mathematics |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://jcom.sissa.it/archive/08/02/Jcom0802%282009... |
| Language: | English |
| Additional information: | This work is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivativeWorks 3.0 license. You are free to share (copy, distribute and transmit the work), but you must attribute the author, you may not use this work for commercial purposes and you may not alter, transform, or build upon this work and distribute any derivative works you create under a similar license. http://creativecommons.org/licenses/by-nc-nd/3.0/ |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Science and Technology Studies |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1381041 |
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